How to use this page
Every “ link.csv ” is a downloadable csv.
You can search and order every table. Results of the search are downloadable as csv or can be copied in the clipboard.
You can zoom in the time series by selecting the date range. You can also use the selector beside to choose this range. Double click to reset the settings.
Under each dynamic plot, you can find a static plot by clicking on “Static plot”.
The datasets:
List of all DMs
A dataset with 3 columns:
text: extracted text
date: date of the dm
user: user who sent the dm
Count of daily DMs
A dataset with 2 columns
date: the date
n: number of DMs
Static plot
DMs by year
3 datasets (1 per year), each with 3 columns:
text: extracted text
date: date of the dm
user: user who sent the dm
2015
Static plot
2016
Static plot
2017
Static plot
Count of user participation
A dataset with 2 columns
user: the user
n: number of DMs in the corpus
DMs by users
15 datasets (1/user), each with 3 columns:
text: extracted text
date: date of the dm
user: user who sent the dm
Mentions
DMs that contains a mention to a Twitter account.
A dataset with 4 columns
mention: the mentioned account
text: extracted text
date: the date
user: user who sent the dm
Count of the mentions:
A dataset with 2 columns
mention: the mention
n: number of DMs
Urls
Extracted links, (starting with http).
A dataset with 4 columns
url: the found url
text: extracted text
date: the date
user: user who sent the dm
Methodology
Everything has been done in R.
Methodology is described in methodo